Search Results - (( collaborative evolution algorithm ) OR ( collaborative evolutionary algorithm ))*
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Mathematical Modeling and Intelligent Optimization in Green Manufacturing & Logistics
Published 2023Subjects: “…differential evolution algorithm…”
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Advances in Intelligent Data Analysis and Its Applications
Published 2024Subjects: “…differential evolution algorithm…”
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Artificial Intelligence in Complex Networks
Published 2024Subjects: “…phylogenetic evolution…”
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Natural Disasters Occurrence, Reduction, and Restoration in Mountain Regions
Published 2024Subjects: “…landslide evolution…”
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Numerical Simulation and Computational Methods in Engineering and Sciences
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Artificial Intelligence Advances for Medical Computer-Aided Diagnosis
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Charting the Intelligence Frontiers – Edge AI Systems Nexus
Published 2026“…From the complexities of advanced algorithms and the design of novel edge AI hardware accelerators to the architecture of next-generation communication networks, AI frameworks and software systems, the EEAI fosters a vibrant exchange of ideas that are following the future and actively defining it. …”
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Charting the Intelligence Frontiers – Edge AI Systems Nexus
Published 2026“…From the complexities of advanced algorithms and the design of novel edge AI hardware accelerators to the architecture of next-generation communication networks, AI frameworks and software systems, the EEAI fosters a vibrant exchange of ideas that are following the future and actively defining it. …”
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Evolutionary Computation, Metaheuristics, Nature-Inspired Algorithms, and Symmetry
Published 2026Subjects: “…Evolutionary algorithms…”
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Soil and Groundwater Quality and Resources Assessment, 2nd Edition
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Optimization Methods Applied to Power Systems: Volume 1
Published 2021Subjects: “…evolutionary algorithms…”
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Optimization Methods Applied to Power Systems: Volume 2
Published 2021Subjects: “…evolutionary algorithms…”
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Evolutionary Computation & Swarm Intelligence
Published 2021“…The latter are broad and still growing subjects in Computer Science in the study of metaheuristic approaches, i.e., those approaches which do not make any assumptions about the problem function, inspired from natural phenomena such as, in the first place, the evolution process and the collaborative behaviours of groups of animals and communities, respectively. …”
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